The AI Experimentby Xelec

AI venture of Xelec · United States & European Union

Enterprise AI that survives the operations review.

A product studio, an engineering team and a research lab. Our parent company Xelec builds the hardware — so when inference has to run on the factory floor, we design the board and the model together.

11 days
Fastest pilot to production
94%
Field-level extraction accuracy
38 ms
Median on-device inference
EU + US
Data residency regions

Operating model

One team, three modes of engagement.

Being a studio and a consultancy is why our pilots reach production.

01

Product Studio

Seven shipping products. Deployed in weeks, not quarters.

  • Your cloud, ours, or on-prem
  • Per-seat or per-document pricing
  • White-label options

02

Enterprise Engineering

Senior teams that take one use case to a monitored production system.

  • Fixed-scope paid pilots
  • Hand-off with runbooks
  • US and EU delivery hours

03

Research Lab

Retrieval, document structure, agent reliability, small-model distillation.

  • Findings feed the products
  • Published experiment notes
  • Hardware co-design with Xelec

Field notes

What actually stops enterprise AI in Chicago and Munich.

Six problems we hear on nearly every first call — each with an engineering answer.

P-01

The pilot graveyard

Twelve proofs of concept, none in production. No owner, no evaluation, no path to a live system.

Our answerPaid pilots with a written production gate — pass and we ship, fail and you keep the findings.

P-02

The data is trapped in documents

Invoices, claims, scans, faxes, legacy tables. The model is fine; the input never arrives.

Our answerDocument intelligence and a data foundation built before any model work starts.

P-03

Compliance is the real blocker

EU AI Act tiers, GDPR transfers, SOC 2 evidence, residency questionnaires. Legal stops the project.

Our answerEU and US residency, model-choice control, DPIA-ready documentation, audit trails from day one.

P-04

Nobody can prove it is right

One confident wrong answer in a regulated workflow costs more than the programme saved.

Our answerEvaluation sets, citation-grounded answers, guardrails and drift monitoring, shipped with the system.

P-05

Vendor sprawl and drifting spend

Nine tools, four contracts, no view of cost per outcome, and a bill that tracks token prices.

Our answerModel-agnostic architecture, cost telemetry per workflow, a path to smaller in-house models.

P-06

Cloud-only AI cannot reach the floor

Factories, clinics and field devices have latency, bandwidth and sovereignty limits.

Our answerOn-device inference on Xelec hardware — the capability most AI vendors do not have.

Procurement answers, up front

Data residency
EU and US regions
Deployment
Your cloud, our cloud, or on-prem
Regulation
EU AI Act and GDPR aligned
Controls
SOC 2 aligned practices
Model policy
Model-agnostic, no lock-in
IP
You own the work product

Parent company

Xelec builds the hardware. That is the part competitors cannot copy.

Twenty years of embedded design, sensor integration and manufacturing behind this AI venture.

  • IoT and embedded prototyping

    Concept to a working, instrumented unit.

  • Firmware and electronics development

    RTOS and bare-metal firmware, schematics, PCB, DFM.

  • Model and device co-design

    Distillation targeted at a board we control.

  • Manufacturing and fleet operation

    Volume transfer, OTA updates, remote diagnostics.

Macro view of a Xelec-designed embedded board with an AI accelerator module seated in its socket

Public roadmap

What ships next, in the open.

Because buyers in regulated industries plan in quarters, not sprints.

Full roadmap

Now

Shipping

  • Xelec Eval

    Regression gates and drift monitoring in open beta.

  • Extract — EU form pack

    German, French, Dutch and Nordic layouts.

  • Assist — audit export

    Quarterly DPO-ready query reporting.

Next

Following two quarters

  • Xelec Edge general availability

    Two reference boards, fleet OTA, offline sync.

  • Revenue — EMEA territory engine

    Multi-currency quota, in-region data.

  • Private model hosting

    Dedicated inference in EU and US regions.

Exploring

Research-led

  • Xelec sensor + AI reference kits

    Vision, acoustic and vibration capture.

  • Distilled in-house models

    Client-owned small models from production traces.

  • Agent supervision framework

    Reliability patterns from R-04, productised.

Next step

Start with a conversation, not a contract.

Thirty minutes with an engineer who has shipped this before. If there is no fit, we will say so on the call.